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Short-term forecasts on time series for tourism in Lombardy

  • Andrea Marletta
  • Roberta Rossi
  • Elena Diceglie

Data from official sources on nights spent in an accommodation for tourists in Lombardy are available until 2021. These data on touristic flows for 2020 and 2021 registered a clear downfall because of restrictions related to Covid-19. The aim of this paper is to verify the presence of a full or partial recover of tourists in provinces of Lombardy using short-term predictions for 2022. A time-series procedure has been applied to obtain a forecast estimate for 2022 using an ARMA model with the addition of an exogenous variable. The hypothesis at the basis of the model is that a punctual estimate of the touristic flows could be obtained using an auxiliary variable explaining the number of employees in the food services and hospitality industry. This auxiliary variable is represented as the difference between the number of starting work contracts and the contract terminations. These data are available thanks to the Informative system of mandatory communications provided by the Italian Minister of Labour. The availability of this information is daily guaranteed at level of single municipality but for the purpose of this paper, data have been aggregated at province level. The short-term predictions obtained for 2022 have been used to verify the presence of a recovery respect to the pandemic emergency of Covid-19 using a double growth rate. A first growth rate has been computed comparing the number of estimated tourists respect to the 2021 measuring the existence of a rebound after the restrictions. A second growth rate measured the estimates for 2021 respect to the presences of 2019 to monitor the trends in Lombardy compared to the before Covid-19 period. Preliminary results showed an evident upswing respect to 2021 and a partial recovery respect to 2019 for the majority of Lombard provinces.

  • Keywords:
  • Time series,
  • Forecasts,
  • Tourism,
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Andrea Marletta

University of Milano-Bicocca, Italy - ORCID: 0000-0002-4050-5316

Roberta Rossi

PoliS-Lombardia, Italy - ORCID: 0000-0003-4586-9044

Elena Diceglie

PoliS-Lombardia, Italy

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  2. Fotiadis, A., Polyzos, S., Huan, T. C. T. (2021). The good, the bad and the ugly on COVID-19 tourism recovery. Annals of tourism research, 87, 103-117.
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  • Anno di pubblicazione: 2023
  • Pagine: 77-82

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  • Anno di pubblicazione: 2023

Informazioni sul capitolo

Titolo del capitolo

Short-term forecasts on time series for tourism in Lombardy

Autori

Andrea Marletta, Roberta Rossi, Elena Diceglie

Lingua

English

DOI

10.36253/979-12-215-0106-3.14

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

ASA 2022 Data-Driven Decision Making

Sottotitolo del libro

Book of short papers

Curatori

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

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Proceedings e report

ISSN della collana

2704-601X

e-ISSN della collana

2704-5846

155

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